stylegan2_pytorch
stylegan2-ada
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stylegan2_pytorch | stylegan2-ada | |
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3 | 21 | |
161 | 1,780 | |
- | 0.7% | |
1.8 | 0.0 | |
over 3 years ago | 5 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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stylegan2_pytorch
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I made the best dataset, it is the most useful one
Hi, I am not sure about the dataset the model was trained on, as I used pretrained model from here If you want, I can try to find bigger "natural" dataset for you
Hi, I used stylegan2 to generate images. You can read about it, and if you have any questions, I will be happy to answer
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[D] Stylegan2-pytorch pauses for a long time after every 4th iteration?
https://github.com/Tetratrio/stylegan2_pytorch/blob/master/stylegan2/train.py#L172
stylegan2-ada
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Getty Images will cease to accept all submissions created using AI generative models
If you smudge just a few locations I doubt it would fool a simple discriminator. You could also train a discriminator that is robust to post-processing by using augmentations. This was popular with StyleGAN models: https://github.com/NVlabs/stylegan2-ada
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Someone posted my art on this subreddit and it reached the front page without credit, so I thought I'd post something myself
https://github.com/NVlabs/stylegan2-ada + clip guided diffusion
- [P] Play around with StyleGAN2 in your browser
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How do you generate those latent walk animations?
I understand the concept you're describing, but I'm unsure how to implement it in practice. The documentation on Stylegan2's GitHub page doesn't mention anything on it I can see. https://github.com/NVlabs/stylegan2-ada
You have to modify the code, it's line 60 in https://github.com/NVlabs/stylegan2-ada/blob/main/generate.py
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[R] EigenGAN: Layer-Wise Eigen-Learning for GANs
You should check stylegan-2 ada, it works on colab and can be trained less than 12 hours tensorflow implementation
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An interpolation from an AI trained on liminal images
with a process called ADA https://github.com/NVlabs/stylegan2-ada
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[R] A survey on generative adversarial networks: fundamentals and recent advances - Link to free zoom lecture by the researcher in comments
Training generative adversarial networks with limited data [NeurIPS 2020] Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, and Timo Aila. arxiv: https://arxiv.org/abs/2006.06676v2 git: https://github.com/NVlabs/stylegan2-ada
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[P] Stylegan on ~5k images
As official as it can be.
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[D] Stylegan2-pytorch pauses for a long time after every 4th iteration?
I direct you to the issue on the subject in the NVLabs/stylegan2-ada repository.
What are some alternatives?
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
clip-guided-diffusion - A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
LiminalGan - A stylegan2 model trained on liminal space images
GAN_stability - Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
stylegan3 - Official PyTorch implementation of StyleGAN3
EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
ziyadedher - 🔥🧠Exclusive behind-the-scenes for ziyadedher.com!
stable-diffusion-webui - Stable Diffusion web UI